J Koide

707 citations
24 papers · 638 · h-index 12

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Cell Adhesion Molecules Research

Papers in

J Koide

24 papers receiving 596 citations

Peers

J Koide
Comparison fields: 5 of 64
  • Immunology 478
  • Immunology and Allergy 71
  • Rheumatology 132
  • Virology 29
  • Radiology, Nuclear Medicine and Imaging 128
Replace Svetlana Sosnovtseva with:
Svetlana Sosnovtseva United States
R N Jenkins United States
Sally R. Masters United States
Katja Aviszus United States
N. Shamsadeen United Kingdom
Sally V. Watt Australia
Raymond W. Wilson United States
Masaki Hikida Japan
Heinz J. Radzun Germany
Betty Diamond United States
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Citations per field
00.5×1.5×2×2.4×
Svetlana Sosnovtseva · 1×
Citations per year

Countries citing papers authored by J Koide

Since Specialization
Citations

This map shows the geographic impact of J Koide's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J Koide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Koide more than expected).

Fields of papers citing papers by J Koide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J Koide. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J Koide. The network helps show where J Koide may publish in the future.

Co-authors

The 25 scholars most cited alongside J Koide, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J Koide Line = papers co-authored together J Koide links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993102
2 198889
3 198986
4 199062
5 199753
6 198939
7 199736
8 198232
9 199824
10 198923
11 199022
12 198417
13 198510
14 19868
15 19958
16
[A case with rheumatoid arthritis complicated with ANCA-associated vasculitis].
19986
17 19875
18 19834
19 19883
20 19913

About J Koide

J Koide is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Rheumatology, Oncology and Pathology and Forensic Medicine, having authored 24 papers that have together received 638 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), T-cell and B-cell Immunology (10 papers), Systemic Lupus Erythematosus Research (9 papers), Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (5 papers), Vasculitis and related conditions (3 papers), Lymphoma Diagnosis and Treatment (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Immunology (478 citations), Immunology and Allergy (71 citations), Rheumatology (132 citations), Virology (29 citations) and Radiology, Nuclear Medicine and Imaging (128 citations). J Koide has collaborated with scholars based in Japan and United States. Frequent co-authors include Edgar G. Engleman, A Rivas, Tsutomu Takeuchi, Tohru Abe, Hiroki Sekine, S Takada, Michael L. Cleary, Koichi Amano, Kouichi Amano and Toru Abe. Their work appears in journals such as The Journal of Immunology, Scandinavian Journal of Immunology, Clinical Rheumatology, Physica A Statistical Mechanics and its Applications and Clinical & Experimental Immunology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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